Dinson Dinson
Geekbench AI Score
1711
Single Precision Score
1718
Half Precision Score
1137
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Dinson Dinson |
| Motherboard | Dinson DS2202 Motherboard |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 14 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.6 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (Q)
|
99% |
821
153.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
852
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1789
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1793
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
1995
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (Q)
|
85% |
713
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1797
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1867
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1779
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1474
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1863
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1858
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3749
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1123
41.6 IPS |
|
|
Text Classification (SP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
611
821.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1919
33.0 IPS |
|
|
Machine Translation (Q)
|
58% |
513
12.0 IPS |
